For autonomous vehicles, scene understanding is still one of the major challenges, which
needs to be well handled to avoid jittery decisions and unsmooth trajectories. Furthermore …

Uncertainties in dynamical driving environments are crucial to the decision making and
trajectory planning modules for autonomous vehicles. Without proper handling of such …

Recent researches in autonomous driving mainly consider the uncertainty in perception and
prediction modules for safety enhancement. However, obstacles which block the field-of …

On highways, the interaction with surrounding vehicles is very crucial for the decision-
making and planning of autonomous vehicles. However, the multi-modal driving intentions …

Lane-changing is a critical issue for autonomous vehicles (AVs), especially in complex
environments. In addition, different drivers have different handling preferences. How to …

Trajectory planning is one of the most important modules of the Autonomous Driving
Systems (ADSs), which aims to achieve a safe and comfortable interaction between the …

Efficient intersection planning is one of the most challenging tasks for an autonomous
vehicle at present. Politeness to other traffic participants and reaction to surrounding …

Driving autonomous vehicles safely through a complex urban environment remains a
difficult task. The sensor limitations, as well as the various occlusions in the urban …

For automated driving vehicles, trajectory planning is responsible for obtaining feasible
trajectories with velocity profiles according to driving environments. From the perspective of …

This paper advances state-of-the-art automated driving systems with a comprehensive
framework that encompasses decision making, maneuver planning, and trajectory tracking …